AI & Art: Redefining Creativity for a New Generation
summary
Artists need both visual-art literacy and tech fluency and must work with psychologists, ecologists and other researchers to make meaningful pieces. Examples include an installation that uses a hand-movement predictor trained to remove mice, and immersive works that combine 3D, lighting and generative models — but prompt engineering remains trial-and-error because language→image latent spaces are limited. Concern: generative pipelines consume lots of energy and water, so some companies locate data centers using renewables while artists balance creative gain against environmental cost.
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chapters (8)
- 0:00Introduction and welcome
- 1:10Panel speakers introduction
- 2:56New skills for artists in AI era
- 10:56Cultural value in AI-generated art
- 17:07Balancing AI creativity and environmental impact
- 22:25AI’s impact on creative process and language
- 28:51Natural language and AI’s hidden code
- 34:00Closing remarks
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